R堆叠的频率直方图百分比，基于 [英] R stacked % frequency histogram with percentage of aggregated data based on

问题描述

我相信我的问题与

这就是我走了多远

set.seed(123)
n = 100

LoanStatus = sample(c('Chargedoff', 'Completed', 'Current', 'Defaulted', 'PastDue'), n, replace = T, prob = NULL)
ProsperScore = sample(1:11, n, replace = T, prob = NULL)

df = data.frame(ProsperScore,factor(LoanStatus))
df = data.frame(ProsperScore,LoanStatus)

probs = data.frame(prop.table(table(df),1))

推荐答案

堆积条形图的代码如下所示:

Code for the stacked bar plot could look something like this:

library(ggplot2)

brks <- c(0, 0.25, 0.5, 0.75, 1)

ggplot(data=probs,aes(x=ProsperScore,y=Freq,fill=LoanStatus)) +
  geom_bar(stat="identity") +
  scale_y_continuous(breaks = brks, labels = scales::percent(brks)) +
  scale_x_discrete(breaks = c(3,6,9))

更完整的代码，在这里演示了如何将百分比添加到绘图中:

More complete code, demonstrating how you would go about adding percentages to the plot, is here:

library(ggplot2)
library(plyr)

brks <- c(0, 0.25, 0.5, 0.75, 1)

probs <- probs %>% dplyr::group_by(ProsperScore) %>%
  dplyr::mutate(pos=cumsum(Freq)-(Freq*0.5)) %>%
  dplyr::mutate(pos=ifelse(Freq==0,NA,pos))

probs$LoanStatus <- factor(probs$LoanStatus, levels = rev(levels(probs$LoanStatus))) 

ggplot(data=probs,aes(x=ProsperScore,y=Freq,fill=LoanStatus)) +
  geom_bar(stat="identity") +
  scale_y_continuous(breaks = brks, labels = scales::percent(brks)) +
  scale_x_discrete(breaks = c(3,6,9)) +
  geom_text(data=probs, aes(x = ProsperScore, y = pos,
                                  label = paste0(round(100*Freq),"%")), size=2)

要仅在图表的第一列中显示百分比，请添加％&％;％dplyr :: mutate(pos = ifelse(ProsperScore == 1，pos，NA))到 dplyr 调用.

To only show the percentages in the first column of the graph, add %>% dplyr::mutate(pos=ifelse(ProsperScore==1,pos,NA)) to the dplyr calls.

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